﻿* Encoding: UTF-8.
GET 
  FILE='C:\Users\ivan.petrusek\Downloads\Data_ROPR12581.sav'.

***** NOTE: This syntax file contains results of descriptive analyses of the variables which enter the structural equation and linear regression modelling. 
*** Furthermore, the syntax contains the script for six linear regression models, which were used as the robustness checks models and are reported in the article's Appendix.


*** Table 2. Descriptive statistics of dependent and explanatory variables.
FREQUENCIES VARIABLES=plosna_op podnik_op info_op REG_TOT FIN_TOT INFO_TOT REG_SP FIN_SP INFO_SP P1 
    konz P2_1 P2_2 liber
  /FORMAT=NOTABLE
  /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.



********** APPENDIX TABLES.
*** Table A1. Correlation coefficients between all variables in the models.
CORRELATIONS
  /VARIABLES=plosna_op podnik_op info_op REG_TOT FIN_TOT INFO_TOT REG_SP FIN_SP INFO_SP P1 konz 
    P2_1 P2_2 liber
  /PRINT=TWOTAIL SIG LNODIAG
  /MISSING=PAIRWISE.


*** Table A2. Linear regression model of support for anti-COVID-19 regulatory instruments.
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT plosna_op
  /METHOD=ENTER REG_TOT FIN_TOT INFO_TOT P1 konz P2_2.


*** Table A3. Linear regression model of support for anti-COVID-19 economic instruments.
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT podnik_op
  /METHOD=ENTER REG_TOT FIN_TOT INFO_TOT P1 liber P2_2.


*** Table A4. Linear regression model of support for anti-COVID-19 information instruments.
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT info_op
  /METHOD=ENTER REG_TOT FIN_TOT INFO_TOT P1 konz P2_1.


*** Table A5. Linear regression model of support for anti-COVID-19 regulatory instruments (indirect measurement of policy instrument attitudes [M2]).
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT plosna_op
  /METHOD=ENTER REG_SP FIN_SP INFO_SP P1 konz P2_2.


*** Table A6. Linear regression model of support for anti-COVID-19 economic instruments (indirect measurement of policy instrument attitudes [M2]).
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT podnik_op
  /METHOD=ENTER REG_SP FIN_SP INFO_SP P1 liber P2_2.


*** Table A7. Linear regression model of support for anti-COVID-19 information instruments (indirect measurement of policy instrument attitudes [M2]).
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT info_op
  /METHOD=ENTER REG_SP FIN_SP INFO_SP P1 konz P2_1.


